peterwilli / sd-leap-booster

Fast finetuning using a booster model that puts the initial state to a local minimum

Date Created 2023-01-07 (about a year ago)
Commits 26 (last one about a year ago)
Stargazers 112 (0 this week)
Watchers 11 (0 this week)
Forks 12
License mit
Ranking

RepositoryStats indexes 534,880 repositories, of these peterwilli/sd-leap-booster is ranked #252,467 (53rd percentile) for total stargazers, and #185,249 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #45,311/103,597.

peterwilli/sd-leap-booster is also tagged with popular topics, for these it's ranked: machine-learning (#4,202/7374),  ai (#1,631/3141),  data-science (#1,195/1973),  stable-diffusion (#420/789)

Other Information

peterwilli/sd-leap-booster has 1 open pull request on Github, 0 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there is 1 open issue and 5 closed issues.

There have been 2 releases, the latest one was published on 2023-01-14 (about a year ago) with the name Synthetic training set sd2.1.

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Recent Commit History

26 commits on the default branch (main) since jan '22

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The only known language in this repository is Python

updated: 2024-01-05 @ 09:20pm, id: 586287276 / R_kgDOIvIIrA